-
1 Comment
GiG Works Inc is currently in a long term downtrend where the price is trading 16.9% below its 200 day moving average.
From a valuation standpoint, the stock is 69.8% cheaper than other stocks from the Technology sector with a price to sales ratio of 1.0.
GiG Works Inc's total revenue rose by 45.6% to $6B since the same quarter in the previous year.
Its net income has increased by 348.7% to $292M since the same quarter in the previous year.
Based on the above factors, GiG Works Inc gets an overall score of 3/5.
Sector | Technology |
---|---|
Industry | Information Technology Services |
CurrencyCode | JPY |
Exchange | TSE |
ISIN | JP3410750008 |
Target Price | None |
---|---|
Beta | 0.24 |
Dividend Yield | 1.4% |
PE Ratio | None |
Market Cap | 4B |
GiG Works Inc. provides marketing and communication, field support, and contact center services in Japan. It offers sales agency and sales support services; installation, replacement, and maintenance support services; call center operation and staff support service; and systems engineering development contract services. The company is also involved in the software development; planning, development, and sales of software packages; real estate services; office rental; and consulting services. In addition, it offers WEB3 services, such as development and operation of applications that utilize blockchain technology; and mail order and e-commerce services. The company was formerly known as ThreePro Group Inc. and changed its name to GiG Works Inc. in August 2019. The company was incorporated in 1977 and is headquartered in Tokyo, Japan.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2375.TSE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025